CN106324406B - A kind of transformer DC magnetic bias method for diagnosing faults and device - Google Patents
A kind of transformer DC magnetic bias method for diagnosing faults and device Download PDFInfo
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00496—Recognising patterns in signals and combinations thereof
- G06K9/00523—Feature extraction
- G06K9/0053—Feature extraction by analysing the shape of a waveform, e.g. extracting parameters relating to peaks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00496—Recognising patterns in signals and combinations thereof
- G06K9/00536—Classification; Matching
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6215—Proximity measures, i.e. similarity or distance measures
Abstract
The invention discloses a kind of transformer DC magnetic bias method for diagnosing faults and device, this method to acquire transformer vibration signal first, pre-processes to transformer vibration signal, obtains time domain waveform；Then, when time domain waveform being carried out-frequency conversion, obtain the temporal frequency characteristics waveform and three-dimensional time-frequency-amplitude spectrum of transformer vibration signal；Secondly, extracting the amplitude characteristic that frequency is greater than 1000Hz, the amount characterized by the corresponding amplitude characteristic of frequency according to temporal frequency characteristics waveform and T/F-amplitude spectrum；Finally, the characteristic quantity of transformer vibration signal is carried out correlation calculations with characteristic quantity corresponding in sample database, D.C. magnetic biasing failure is judged whether there is according to calculated result.Present invention realization is not detected and is judged to transformer DC magnetic bias failure by direct-flow ground signalling, improves the accuracy rate and reliability of transformer fault diagnosis.
Description
Technical field
The invention belongs to high-tension apparatus on-line monitoring technique fields, and in particular to a kind of transformer DC magnetic bias fault diagnosis
Method and device.
Background technique
As a part of electrical power mains network, the reliability service of transformer is significant to electric power netting safe running.With
Large capacity, long range direct current transportation utilization, the grounding electrode electric current of the DC transmission system run in a manner of monopole ground return circuit
Transformer winding can be flowed through by transformer neutral point, cause transformer DC magnetic bias, cause transformer noise to increase, iron core mistake
The harm such as heat, it is totally unfavorable to electric power netting safe running.Currently, many super-pressure, extra-high voltage project are inclined to transformer tolerance direct current
Magnetic energy power, which proposes, to be clearly required, in order to guarantee network system and Product Safety, it is necessary to carry out transformer DC magnetic bias
State analysis research.
It at present to the research of D.C. magnetic biasing failure, is passed through by being monitored to transformer dc earth current mostly
Certain data process&analysis carries out early warning to the DC magnetic bias phenomena that Transformer occurs.The present invention passes through to change
Depressor vibration signal judges D.C. magnetic biasing failure.
Summary of the invention
The object of the present invention is to provide a kind of transformer DC magnetic bias method for diagnosing faults, do not pass through DC earthing to realize
Signal is detected and is judged to transformer DC magnetic bias failure.
In order to solve the above technical problems, the present invention provides a kind of transformer DC magnetic bias method for diagnosing faults, method scheme
One: including the following steps:
1) transformer vibration signal is acquired；
2) transformer vibration signal is pre-processed, obtains time domain waveform；
3) when time domain waveform being carried out-frequency conversion, obtain the temporal frequency characteristics waveform and three-dimensional of transformer vibration signal
T/F-amplitude spectrum；
4) according to temporal frequency characteristics waveform and T/F-amplitude spectrum, the amplitude that frequency is greater than 1000Hz is extracted
Characteristic, the amount characterized by the corresponding amplitude characteristic of frequency；
5) characteristic quantity of transformer vibration signal is subjected to correlation calculations with characteristic quantity corresponding in sample database, according to meter
It calculates result and judges whether there is D.C. magnetic biasing failure；The corresponding width of different frequency under D.C. magnetic biasing fault condition is stored in sample database
It is worth characteristic.
Method scheme two: on the basis of method scheme one, further include pre-judging method, include the following steps:
1) acquisition step: acquisition transformer dc ground signalling and transformer station high-voltage side bus parameter；
2) threshold decision step: being compared transformer dc ground signalling with direct-flow ground signalling threshold value, if more than
Direct-flow ground signalling threshold value then carries out historical data comparison；
3) historical data comparison step: if transformer dc ground signalling, operating parameter compared with corresponding historical data,
Difference, which meets, to impose a condition, then carries out the judgement of D.C. magnetic biasing failure by transformer vibration signal again.
Method scheme three: on the basis of method scheme one, for three-phase fission transformer, further include pre-judging method: doing
Aspect ratio calculates, if meeting condition, then the judgement of D.C. magnetic biasing failure is carried out by transformer vibration signal.
Method scheme four: on the basis of method scheme two, the transformer station high-voltage side bus parameter include transformer station high-voltage side bus voltage,
Load current, top-oil temperature and winding temperature.
Method scheme five: on the basis of method scheme two, the threshold value comparison formula are as follows:
IA(t)>IT
Transformer dc ground signalling historical data compares formula are as follows:
Wherein IA(t)For this direct-flow ground signalling sampled value, IA(t-1)For last time direct-flow ground signalling sampled value；
Transformer station high-voltage side bus parameters history data compare formula are as follows:
Wherein MtFor this operational parameter data sampled value, Mt-1For last time operational parameter data sampled value.
Method scheme six: on the basis of method scheme three, the aspect ratio calculation formula are as follows:
Wherein Xt、Yt、ZtThe respectively current sample values of the same operating parameter of three-phase fission transformer A, B, C three-phase,
Xt-1、Yt-1、Zt-1The respectively three-phase fission transformer last time sampled value that corresponds to identical operating parameter.
Method scheme seven: on the basis of method scheme one, method scheme two, method three either a program of scheme, further include
The transformer vibration signal of acquisition is conditioned, amplification, A/D and photoelectric conversion, when exporting the vibration of measured signal with FT3 format
Domain waveform, and the step of carrying out noise reduction process using filtering algorithm to time domain waveform, filter effect use root-mean-square error:
To measure.
Method scheme eight: on the basis of method scheme one, method scheme two, method three either a program of scheme, the phase
Closing property is calculated as Pearson correlation calculations method:
Wherein X be the corresponding feature vector of transformer data to be identified, Y be sample database in a certain fault type feature to
Amount, ρX,YFor related coefficient；ρX,YAbsolute value it is bigger, correlation is stronger.
Method scheme nine: on the basis of method scheme five, the K1=30%, K2=20%.
Method scheme ten: on the basis of method scheme six, the Ktsh=30%.
The present invention also provides a kind of transformer DC magnetic bias trouble-shooter, device scheme one: including such as lower unit:
1) for acquiring the unit of transformer vibration signal；
2) for pre-processing transformer vibration signal, the unit of time domain waveform is obtained；
3) for when time domain waveform is carried out-frequency conversion, obtain the temporal frequency characteristics waveform of transformer vibration signal with
Three-dimensional time-frequency-amplitude spectrum unit；
4) for extracting frequency greater than 1000Hz's according to temporal frequency characteristics waveform and T/F-amplitude spectrum
Amplitude characteristic, the unit of amount characterized by the corresponding amplitude characteristic of frequency；
5) for the characteristic quantity of transformer vibration signal to be carried out correlation calculations, root with characteristic quantity corresponding in sample database
The unit of D.C. magnetic biasing failure is judged whether there is according to calculated result；Different frequencies under D.C. magnetic biasing fault condition are stored in sample database
The corresponding amplitude characteristic of rate.
Device scheme two: further including the unit for anticipation, including following module on the basis of device scheme one:
A) acquisition module: acquisition transformer dc ground signalling and transformer station high-voltage side bus parameter；
B) threshold value judgment module: being compared transformer dc ground signalling with direct-flow ground signalling threshold value, if more than
Direct-flow ground signalling threshold value then carries out historical data comparison；
C) historical data comparison module: if transformer dc ground signalling, operating parameter compared with corresponding historical data,
Difference, which meets, to impose a condition, then carries out the judgement of D.C. magnetic biasing failure by transformer vibration signal again.
Device scheme three: on the basis of device scheme one, for three-phase fission transformer, further include anticipation unit: doing
Aspect ratio calculates, if meeting condition, then the judgement of D.C. magnetic biasing failure is carried out by transformer vibration signal.
Device scheme four: on the basis of device scheme two, the transformer station high-voltage side bus parameter include transformer station high-voltage side bus voltage,
Load current, top-oil temperature and winding temperature.
Device scheme five: on the basis of device scheme two, the threshold value comparison formula are as follows:
IA(t)>IT
Transformer dc ground signalling historical data compares formula are as follows:
Wherein IA(t)For this direct-flow ground signalling sampled value, IA(t-1)For last time direct-flow ground signalling sampled value；
Transformer station high-voltage side bus parameters history data compare formula are as follows:
Wherein MtFor this operational parameter data sampled value, Mt-1For last time operational parameter data sampled value.
Device scheme six: on the basis of device scheme three, the aspect ratio calculation formula are as follows:
Wherein Xt、Yt、ZtThe respectively current sample values of the same operating parameter of three-phase fission transformer A, B, C three-phase,
Xt-1、Yt-1、Zt-1The respectively three-phase fission transformer last time sampled value that corresponds to identical operating parameter.
Device scheme seven further includes on the basis of device scheme one, device scheme two, device three either a program of scheme
Conditioned, amplification, A/D and photoelectric conversion by the transformer vibration signal for being used to acquire, with the vibration of FT3 format output measured signal
Dynamic time domain waveform, and the unit of noise reduction process is carried out using filtering algorithm to time domain waveform, filter effect uses root-mean-square error:
To measure.
Device scheme eight, on the basis of device scheme one, device scheme two, device three either a program of scheme, the phase
Closing property is calculated as Pearson correlation calculations method:
Wherein X be the corresponding feature vector of transformer data to be identified, Y be sample database in a certain fault type feature to
Amount, ρX,YFor related coefficient；ρX,YAbsolute value it is bigger, correlation is stronger.
Device scheme nine, on the basis of device scheme five, the K1=30%, K2=20%
Device scheme ten, on the basis of device scheme six, the Ktsh=30%.
The beneficial effects of the present invention are: the transformer vibration signal of acquisition is handled, the time domain of vibration signal is obtained
Waveform, instantaneous frequency waveform and three-dimensional time-frequency-amplitude spectrum extract the amplitude characteristic that frequency is greater than 1000Hz, with frequency
The corresponding amplitude characteristic amount of being characterized is related to characteristic quantity progress corresponding in sample database by the characteristic quantity of transformer vibration signal
Property calculate, D.C. magnetic biasing failure is judged whether there is according to calculated result.The present invention realizes not by direct-flow ground signalling to change
Depressor D.C. magnetic biasing failure is detected and is judged, can be improved the accuracy rate and reliability of transformer fault diagnosis.
Detailed description of the invention
Fig. 1 is transformer DC magnetic bias method for diagnosing faults flow chart of the invention.
Specific embodiment
With reference to the accompanying drawing, the present invention is further described in detail.
It is as shown in Figure 1 transformer DC magnetic bias method for diagnosing faults flow chart.
1) after transformer puts into operation, vibration signal and direct current of the transformer under actual loading operating condition are acquired
Ground signalling and transformer station high-voltage side bus parameter, operating parameter include transformer station high-voltage side bus voltage, load current, top-oil temperature and winding temperature
Degree.
2) transformer vibration signal of acquisition is exported former through signal condition, amplification, A/D and photoelectric conversion with FT3 format
The vibration time domain waveform of beginning and measured signal.Noise reduction process is carried out to vibration signal time domain waveform, filters out random noise and spike
Impulse disturbances.It (can certainly be using other filters for example, length can be used to carry out shape filtering for 7 linear structure element
Wave method), filter effect root-mean-square error:
It measures, d is the smaller the better, the threshold value of d can be set as needed.If error is larger, adjustable structural element
Length carries out preferred.
3) transformer DC magnetic bias failure is prejudged:
By transformer dc earth current sampled value IA(t)With DC earthing threshold value ITIt makes comparisons, if
IA(t)>IT
Then further progress historical data compares, if
And operating parameter exists
Then think that there may be D.C. magnetic biasing failures, then D.C. magnetic biasing failure is sentenced by transformer vibration signal
It is disconnected.Wherein IA(t)For this direct-flow ground signalling sampled value, IA(t-1)For last time direct-flow ground signalling sampled value；MtFor this operation
Supplemental characteristic sampled value, Mt-1For last time operational parameter data sampled value.Certainly, K can be adjusted according to the actual situation1、K2Value.
4) to three-phase fission transformer, D.C. magnetic biasing failure can also be prejudged by aspect ratio calculating:
Then think that there may be D.C. magnetic biasing failures, then D.C. magnetic biasing failure is sentenced by transformer vibration signal
It is disconnected.Wherein Xt、Yt、ZtThe respectively current sample values of the same operating parameter of three-phase fission transformer A, B, C three-phase, Xt-1、
Yt-1、Zt-1The respectively three-phase fission transformer last time sampled value that corresponds to identical operating parameter.Certainly, can come according to the actual situation
Adjust KtshValue.
5) time domain waveform of vibration signal to be measured is normalized, when time-domain signal is carried out-frequency conversion, it obtains
The temporal frequency characteristics waveform and three-dimensional time-frequency-amplitude spectrum of vibration signal to be measured.According to temporal frequency characteristics waveform
And T/F-amplitude spectrum, the amplitude characteristic that frequency is greater than 1000Hz is extracted, is spy with the corresponding amplitude characteristic of frequency
Sign amount.
In the present embodiment, there are four paths.Sample frequency is 10kHz, sample-duration 1s, sampling time interval 10s.
Count the vibration data of the every 1s in each channel, every channel is 10000 data, and data processing unit after filtering processing to generating
The two-dimensional array of 4*10000, the array include channel number and sampling instant.Place is normalized to the data in four channels
The sampled data of identical timing is added to a channel by reason, carries out equalization processing, and generating one has 10000 data
One-dimension array.
Time-frequency convert is carried out to above-mentioned timing sequence vibration signal, when obtaining the temporal frequency characteristics and three-dimensional of vibration signal
M- frequency-amplitude spectrum.For instantaneous frequency spectrogram and T/F-amplitude spectrum, the 6 of transformer vibration data are extracted
A characteristic quantity is as shown in table 1:
Table 1
6) by the characteristic quantity of transformer vibration signal under above-mentioned every kind of vibration frequency and the corresponding characteristic quantity in sample database
Carry out Pearson correlation calculations:
X is the corresponding feature vector of transformer data to be identified, and Y is the feature vector of a certain fault type in sample database,
ρX,YFor related coefficient；ρX,YAbsolute value it is bigger, correlation is stronger.Wherein, it is stored under D.C. magnetic biasing fault condition in sample database
The corresponding amplitude characteristic of different frequency.As long as the size of the corresponding related coefficient calculated of amplitude characteristic under any vibration frequency exists
In prescribed limit, then it can be determined that as transformer DC magnetic bias failure.
It can also be using other verifyings in addition to above-mentioned Pearson correlation calculations method as other embodiments
The formula or algorithm of degree of relevancy.
In the present embodiment, in the operating parameter and direct-flow ground signalling progress historical data judgement to transformer, it is
It makes comparisons with the operating parameter of last time and direct-flow ground signalling.As other embodiments, can also join with upper operation twice
Several and direct-flow ground signalling is made comparisons to carry out the comparison of historical data.
In the present embodiment, it according to temporal frequency characteristics waveform and T/F-amplitude spectrum, extracts frequency and is greater than
The amplitude characteristic of 1000Hz, the amount characterized by the corresponding amplitude characteristic of frequency；By the characteristic quantity and sample of transformer vibration signal
Corresponding characteristic quantity progress correlation calculations pass through before judging whether there is D.C. magnetic biasing failure according to calculated result in library
The transformer dc ground signalling and transformer station high-voltage side bus data of acquisition are prejudged to the presence or absence of D.C. magnetic biasing failure, specifically
Method is in the case where being met by direct-flow ground signalling threshold decision condition, to be compared to historical data；Or for three
Mutually seperated transformer can use three-phase aspect ratio judgment method.Comprehensive transformer vibration signal, DC earthing current signal with
And operating parameter is detected and is judged to transformer DC magnetic bias failure, improve transformer fault diagnosis diagnosis rate and can
By property.As other embodiments, above-mentioned acquisition transformer vibration signal can be directlyed adopt, feature is extracted without anticipation
Amount is to judge D.C. magnetic biasing failure.
The present invention also provides a kind of transformer DC magnetic bias trouble-shooters, including such as lower unit:
1) for acquiring the unit of transformer vibration signal；
2) for pre-processing transformer vibration signal, the unit of time domain waveform is obtained；
3) for when time domain waveform is carried out-frequency conversion, obtain the temporal frequency characteristics waveform of transformer vibration signal with
Three-dimensional time-frequency-amplitude spectrum unit；
4) for extracting frequency greater than 1000Hz's according to temporal frequency characteristics waveform and T/F-amplitude spectrum
Amplitude characteristic, the unit of amount characterized by the corresponding amplitude characteristic of frequency；
5) for the characteristic quantity of transformer vibration signal to be carried out correlation calculations, root with characteristic quantity corresponding in sample database
D.C. magnetic biasing trouble unit is judged whether there is according to calculated result；Different frequency under D.C. magnetic biasing fault condition is stored in sample database
Corresponding amplitude characteristic.
Above-mentioned transformer DC magnetic bias trouble-shooter is actually based on a kind of computer of the method for the present invention process
Solution, i.e., a kind of software architecture, above-mentioned each unit are each treatment progress corresponding with method flow or program.Due to
To the introduction of the above method, sufficiently clear is complete, therefore no longer the device is described in detail.
Claims (18)
1. a kind of transformer DC magnetic bias method for diagnosing faults, which comprises the steps of:
1) transformer vibration signal is acquired；
2) transformer vibration signal is pre-processed, obtains time domain waveform；
3) when time domain waveform being carried out-frequency conversion, obtain the temporal frequency characteristics waveform and three-dimensional time-of transformer vibration signal
Frequency-amplitude spectrum；
4) according to temporal frequency characteristics waveform and three-dimensional time-frequency-amplitude spectrum, the amplitude that frequency is greater than 1000Hz is extracted
Characteristic, the amount characterized by the corresponding amplitude characteristic of frequency；
5) characteristic quantity of transformer vibration data is subjected to correlation calculations with characteristic quantity corresponding in sample database, is tied according to calculating
Fruit judges whether there is D.C. magnetic biasing failure；It is special that the corresponding amplitude of different frequency under D.C. magnetic biasing fault condition is stored in sample database
Property；
The transformer DC magnetic bias method for diagnosing faults further includes pre-judging method, is included the following steps:
A) acquisition step: acquisition transformer dc earth current and transformer station high-voltage side bus parameter；
B) threshold decision step: transformer dc earth current is compared with DC earthing current threshold, if transformer is straight
It flows earth current and is greater than DC earthing current threshold, then carry out historical data comparison；
C) historical data comparison step: if transformer dc earth current, transformer station high-voltage side bus parameter and corresponding historical data phase
Than imposing a condition if difference meets, then carry out the judgement of D.C. magnetic biasing failure by transformer vibration signal.
2. transformer DC magnetic bias method for diagnosing faults according to claim 1, which is characterized in that three-phase fission is become
Depressor, pre-judging method further include: aspect ratio comparison step, if aspect ratio meets condition, then by transformer vibration signal come into
The judgement of row D.C. magnetic biasing failure.
3. transformer DC magnetic bias method for diagnosing faults according to claim 1, which is characterized in that the transformer station high-voltage side bus
Parameter includes transformer station high-voltage side bus voltage, load current, top-oil temperature and winding temperature.
4. transformer DC magnetic bias method for diagnosing faults according to claim 1, which is characterized in that the threshold decision step
Suddenly are as follows: by this transformer dc earth current sampled value IA(t)With DC earthing current threshold ITIt makes comparisons, if meeting: IA(t)>
IT
Then further progress historical data comparison step, by this transformer dc earth current sampled value IA(t)With historical data
Compare, if meet:
IA(t-1)For last time DC earthing current sampling data；
And by transformer station high-voltage side bus parameter compared with historical data, if meet:
Wherein MtFor this operational parameter data sampled value, Mt-1For last time operational parameter data sampled value.
5. transformer DC magnetic bias method for diagnosing faults according to claim 2, which is characterized in that the aspect ratio compares
Step are as follows:
Wherein Xt、Yt、ZtThe respectively current sample values of the same operating parameter of three-phase fission transformer A, B, C three-phase, Xt-1、
Yt-1、Zt-1The respectively three-phase fission transformer last time sampled value that corresponds to identical operating parameter.
6. described in any item transformer DC magnetic bias method for diagnosing faults according to claim 1~2, which is characterized in that also wrap
The transformer vibration signal of acquisition is conditioned, amplification, A/D and photoelectric conversion are included, with the vibration of FT3 format output measured signal
Time domain waveform, and to time domain waveform using filtering algorithm carry out noise reduction process the step of, filter effect using root-mean-square error d come
It measures, d is the smaller the better.
7. described in any item transformer DC magnetic bias method for diagnosing faults according to claim 1~2, which is characterized in that described
Correlation calculations are Pearson correlation calculations.
8. transformer DC magnetic bias method for diagnosing faults according to claim 4, which is characterized in that the K1=30%, K2
=20%.
9. transformer DC magnetic bias method for diagnosing faults according to claim 5, which is characterized in that the Ktsh=30%.
10. a kind of transformer DC magnetic bias trouble-shooter, which is characterized in that including such as lower unit:
1) for acquiring the unit of transformer vibration signal；
2) for pre-processing transformer vibration signal, the unit of time domain waveform is obtained；
3) when being used to carry out time domain waveform-frequency conversion, obtain the temporal frequency characteristics waveform and three-dimensional of transformer vibration signal
T/F-amplitude spectrum unit；
4) for extracting frequency greater than 1000Hz's according to temporal frequency characteristics waveform and three-dimensional time-frequency-amplitude spectrum
Amplitude characteristic, the unit of amount characterized by the corresponding amplitude characteristic of frequency；
5) for the characteristic quantity of transformer vibration data to be carried out correlation calculations with characteristic quantity corresponding in sample database, according to meter
Calculate the unit that result judges whether there is D.C. magnetic biasing failure；Different frequency pair under D.C. magnetic biasing fault condition is stored in sample database
The amplitude characteristic answered；
Further include anticipation unit, anticipation unit includes following module:
A) acquisition module: acquisition transformer dc earth current and transformer station high-voltage side bus parameter；
B) threshold value judgment module: transformer dc earth current is compared with DC earthing current threshold, if transformer is straight
It flows earth current and is greater than DC earthing current threshold, then carry out historical data comparison；
C) historical data comparison module: if transformer dc earth current, transformer station high-voltage side bus parameter and corresponding historical data phase
Than imposing a condition if difference meets, then carry out the judgement of D.C. magnetic biasing failure by transformer vibration signal.
11. transformer DC magnetic bias trouble-shooter according to claim 10, which is characterized in that for three-phase fission
Transformer prejudges unit further include: aspect ratio comparison module, if aspect ratio meets condition, then by transformer vibration signal come
Carry out the judgement of D.C. magnetic biasing failure.
12. transformer DC magnetic bias trouble-shooter according to claim 10, which is characterized in that the transformer fortune
Row parameter includes transformer station high-voltage side bus voltage, load current, top-oil temperature and winding temperature.
13. transformer DC magnetic bias trouble-shooter according to claim 10, which is characterized in that the threshold decision
Module enters following judgement: by this transformer dc earth current sampled value IA(t)With DC earthing current threshold ITIt makes comparisons,
If meeting: IA(t)>IT
Then historical data comparison module is further by this transformer dc earth current sampled value IA(t)Compared with historical data,
Whether meet:
IA(t-1)For last time direct-flow ground signalling sampled value；
And by transformer station high-voltage side bus parameter compared with historical data, if meet:
Wherein MtFor this operational parameter data sampled value, Mt-1For last time operational parameter data sampled value.
14. transformer DC magnetic bias trouble-shooter according to claim 11, which is characterized in that the aspect ratio ratio
Calculate whether aspect ratio meets compared with module:
Wherein Xt、Yt、ZtThe respectively current sample values of the same operating parameter of three-phase fission transformer A, B, C three-phase, Xt-1、
Yt-1、Zt-1The respectively three-phase fission transformer last time sampled value that corresponds to identical operating parameter.
15. 0~11 described in any item transformer DC magnetic bias trouble-shooters according to claim 1, which is characterized in that also
Including the transformer vibration signal that will acquire after conditioning, amplification, A/D and photoelectric conversion, with the vibration of FT3 format output measured signal
Dynamic time domain waveform, and the unit of noise reduction process is carried out using filtering algorithm to time domain waveform, filter effect uses root-mean-square error d
It measures, d is the smaller the better.
16. 0~11 described in any item transformer DC magnetic bias trouble-shooters according to claim 1, which is characterized in that institute
Stating correlation calculations is Pearson correlation calculations.
17. transformer DC magnetic bias trouble-shooter according to claim 13, which is characterized in that the K1=30%,
K2=20%.
18. transformer DC magnetic bias trouble-shooter according to claim 14, which is characterized in that the Ktsh=
30%.
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| CN101709995A (en) * | 2009-12-24 | 2010-05-19 | 浙江大学 | Methods for vibration online monitoring and fault diagnosis of power transformer |
| CN103197178B (en) * | 2013-03-21 | 2015-08-05 | 辽宁省电力有限公司电力科学研究院 | Transformer DC magnetic bias on-Line Monitor Device and monitoring method thereof |
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